ICML 2011 Tutorial - Learning Kernels
Tutorial Description Kernel methods are widely used in statistical learning. Positive definite symmetric (PDS) kernels implicitly specify an inner product in a Hilbert space where large-margin techniques are used for learning and estimation. They can be combined with algorithms such as support vector machines (SVMs) or other kernel-based algorithms to form powerful learning techniques. But the cho
Satoru Iwata
My primary research interests are in the areas of mathematical programming. I have been working on design and analysis of efficient algorithms for discrete optimization concerning matroids and submodular functions. I am also interested in applications of discrete optimization techniques to algebraic/numerical computation that arises in systems analysis and control. Research Institute for Mat
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
処理を実行中です
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
